2 дня назад
Computer Architect (AI)
350 000 - 500 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computer Architect (AI): Defining next-generation compute engines for advanced ML/AI workloads with an accent on instruction-set architecture, memory subsystems, interconnects, and quantization strategies. Focus on translating emerging model requirements into hardware specifications, evaluating area, timing, and power tradeoffs, and supporting first-silicon bring-up and post-silicon debug.
Location: Mountain View, CA; San Francisco, CA; Houston, TX; Santa Clara, CA; the San Francisco Bay Area; Berkeley, CA; Munich, Bavaria, Germany; or Remote (U.S.)
Salary: $350,000–$500,000
Company
is partnering with a well-funded AI hardware startup developing compute technology for advanced models.
What you will do
- Define instruction-set architectures for compute cores, memory subsystems, and interconnects.
- Derive architectural requirements from ML/AI workloads and emerging model trends.
- Write detailed architectural specifications and structured interface definitions.
- Specify numeric formats and quantization strategies for AI workloads.
- Evaluate area, timing, power, latency, throughput, and scalability tradeoffs.
- Collaborate with research, software, RTL, and physical design teams through architecture reviews, test planning, first-silicon bring-up, and post-silicon debug.
Requirements
- Strong computer architecture background and deep understanding of modern compute systems.
- At least 3 years of experience translating workloads or algorithms into hardware architectures.
- Experience evaluating hardware cost, area, timing, and power tradeoffs.
- Knowledge of numeric formats, quantization techniques, and precision tradeoffs for ML workloads.
- Programming and performance optimization experience, including structured interfaces and bit-level encodings using constructs such as structs and tagged unions.
- Strong written and verbal communication skills and the ability to work cross-functionally in a fast-paced environment.
Nice to have
- Familiarity with VLIW, SIMD, or vector execution models.
- Experience designing custom ML silicon or AI systems.
Culture & Benefits
- Work with a world-class team that has a track record of shipping successful products.
- Join a startup that has raised more than $600 million.
- Contribute to an execution-driven environment focused on developing a fundamentally new chip architecture.
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